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Mostafa Al-Emran – Interactive Learning Environments, 2024
The rapidly evolving digital landscape, punctuated by the emergence of artificial intelligence (AI) and immersive technologies, is poised to reshape learning environments dramatically. This study explores the potential use of ChatGPT, a state-of-the-art language model developed by OpenAI, in Metaverse learning environments. It sheds light on…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Opportunities
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Tiansheng Xia; Minyan Tan; Jiayue Guo – Education and Information Technologies, 2024
Attention and emotional states are crucial factors that influence the learning quality of learners engaged in online learning. Nevertheless, controversies exist regarding the effectiveness of enhancing attention and emotions compared to face-to-face learning. Through a comparative analysis of learners' attention and emotional states in…
Descriptors: Computer Simulation, Technology Uses in Education, Educational Technology, Attention
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Hunhui Na; Saeyan Yun – Educational Technology Research and Development, 2024
Augmented Reality (AR) has been continuously adopted in K-12 settings, showing its beneficial impact. Despite numerous studies highlighting the benefit of AR that can enhance students' motivation, no meta-analysis providing an in-depth look into AR's impact on students' motivation has been conducted, particularly in K-12 settings. In this…
Descriptors: Computer Simulation, Educational Technology, Technology Uses in Education, Elementary Secondary Education
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Pere J. Ferrando; Ana Hernández-Dorado; Urbano Lorenzo-Seva – Structural Equation Modeling: A Multidisciplinary Journal, 2024
A frequent criticism of exploratory factor analysis (EFA) is that it does not allow correlated residuals to be modelled, while they can be routinely specified in the confirmatory (CFA) model. In this article, we propose an EFA approach in which both the common factor solution and the residual matrix are unrestricted (i.e., the correlated residuals…
Descriptors: Correlation, Factor Analysis, Models, Goodness of Fit
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Xiao Liu; Zhiyong Zhang; Lijuan Wang – Grantee Submission, 2024
In psychology, researchers are often interested in testing hypotheses about mediation, such as testing the presence of a mediation effect of a treatment (e.g., intervention assignment) on an outcome via a mediator. An increasingly popular approach to testing hypotheses is the Bayesian testing approach with Bayes factors (BFs). Despite the growing…
Descriptors: Sample Size, Bayesian Statistics, Programming Languages, Simulation
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Victoria Abramenka-Lachheb; Jeanne Johnston; Zachary A. Weber – International Journal of Designs for Learning, 2024
The design case details the collaborative work of a design team--three faculty members, one instructional designer, and one educational resource specialist--to create a simulation-based interprofessional education (IPE) experience for future healthcare professionals. Before the COVID-19 pandemic that caused the shutdown of campuses across the…
Descriptors: Interprofessional Relationship, Electronic Learning, Distance Education, Allied Health Personnel
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Ye Jia; Xiangzhi Eric Wang; Zackary P. T. Sin; Chen Li; Peter H. F. Ng; Xiao Huang; George Baciu; Jiannong Cao; Qing Li – IEEE Transactions on Learning Technologies, 2024
One of the promises of edu-metaverse is its ability to provide a virtual environment that enables us to engage in learning activities that are similar to or on par with reality. The digital enhancements introduced in a virtual environment contribute to our increased expectations of novel learning experiences. However, despite its promising…
Descriptors: Computer Simulation, Educational Technology, Learning Processes, Socialization
Kelly F. Jackson – ProQuest LLC, 2024
Interprofessional practice has become a key component of health professions training programs in recent years as health care has shifted to a more team-based approach to patient care. Because of this, health professions training programs have been tasked with ensuring that students receive adequate training prior to graduation. In the field of…
Descriptors: Speech Language Pathology, Graduate Students, Measures (Individuals), Interprofessional Relationship
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Seok-Hyun Ga; Hyun-Jung Cha; Hye-Gyoung Yoon – Journal of Science Education and Technology, 2024
As augmented reality (AR) gains prevalence, various AR exhibits are being installed in science museums. However, few research has thus far examined the extent to which these exhibits can improve visitors' learning. This study qualitatively evaluates the effectiveness of an AR dinosaur exhibit at the Gwacheon National Science Museum in Korea and…
Descriptors: Exhibits, Museums, Computer Simulation, Sciences
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Lucas Kohnke – SpringerBriefs in Education, 2024
This book examines teacher professional development (TPD) models to integrate microlearning into TPD training and serves as a concise but comprehensive introduction to the field. This book covers critical teacher professional development and microlearning aspects, including artificial intelligence, virtual reality, augmented reality, and mixed…
Descriptors: Digital Literacy, Competence, Microteaching, Teacher Education Programs
Marcelo Andrade da Silva; A. Corinne Huggins-Manley; Jorge Luis Bazan; Amber Benedict – Grantee Submission, 2024
A Q-matrix is a binary matrix that defines the relationship between items and latent variables and is widely used in diagnostic classification models (DCMs), and can also be adopted in multidimensional item response theory (MIRT) models. The construction process of the Q-matrix is typically carried out by experts in the subject area of the items…
Descriptors: Q Methodology, Matrices, Item Response Theory, Educational Assessment
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Marcelo Andrade da Silva; A. Corinne Huggins-Manley; Jorge Luis Bazán; Amber Benedict – Applied Measurement in Education, 2024
A Q-matrix is a binary matrix that defines the relationship between items and latent variables and is widely used in diagnostic classification models (DCMs), and can also be adopted in multidimensional item response theory (MIRT) models. The construction process of the Q-matrix is typically carried out by experts in the subject area of the items…
Descriptors: Q Methodology, Matrices, Item Response Theory, Educational Assessment
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Carisma Nel; Elma Marais – Reading & Writing: Journal of the Literacy Association of South Africa, 2023
Background: Concerns have been raised about the inconsistency and quality of pre-service teacher preparation, especially in reading literacy. Mixed-reality simulations can potentially revolutionise initial teacher education by offering realistic, risk-free practice opportunities to master reading practices. Objectives: This study explores…
Descriptors: Preservice Teachers, Computer Simulation, Reading Skills, Reading Instruction
Deborah Rojas – ProQuest LLC, 2023
Introduction: The adoption of simulation technologies in schools of nursing has increased significantly over the last 5 years. Results regarding the use of simulation technology have been positive. The use of simulation technologies has been developed to include complex nursing situations that resemble real clinical settings. Research has…
Descriptors: Computer Simulation, Simulated Environment, Nursing Education, Simulation
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Zhao, Fang; Schützler, Lena; Christ, Oliver; Gaschler, Robert – Teaching Statistics: An International Journal for Teachers, 2023
Constructing interactive web apps has become more accessible for instructors, for example, by using the R package Shiny. Here we explored learners' preferences and the efficiency of interactive simulations versus static pictures in acquiring statistics knowledge of Cohen's d and standard normal distribution. Results revealed that students'…
Descriptors: Statistics Education, Visual Aids, Technology Uses in Education, Web Sites
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